doi: 10.7873/DATE.2015.1113

Computing Approximately, and Efficiently

Swagath Venkataramani^1,a, Srimat T. Chakradhar², Kaushik Roy^1,b and Anand Raghunathan^1,c

¹School of Electrical and Computer Engineering, Purdue University, USA.

^avenkata0@purdue.edu ^bkaushik@purdue.edu ^craghunathan@purdue.edu

²Systems Architecture Department, NEC Laboratories America, USA.

chak@nec-labs.com

ABSTRACT

Recent years have witnessed significant interest in the area of approximate computing. Much of this interest stems from the quest for new sources of computing efficiency in the face of diminishing benefits from technology scaling. We argue that trends in computing workloads will greatly increase the opportunities for approximate computing, describe the vision and key principles that have guided our work in this area, and outline a range of approximate computing techniques that we have developed at all layers of the computing stack, spanning circuits, architecture, and software.

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Computing Approximately, and Efficiently

Swagath Venkataramani1,a, Srimat T. Chakradhar2, Kaushik Roy1,b and Anand Raghunathan1,c

1School of Electrical and Computer Engineering, Purdue University, USA.

2Systems Architecture Department, NEC Laboratories America, USA.

ABSTRACT

Swagath Venkataramani^1,a, Srimat T. Chakradhar², Kaushik Roy^1,b and Anand Raghunathan^1,c

¹School of Electrical and Computer Engineering, Purdue University, USA.

²Systems Architecture Department, NEC Laboratories America, USA.